We performed a comparison between Databricks and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"It's great technology."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"The processing capacity is tremendous in the database."
"I work in the data science field and I found Databricks to be very useful."
"The simplicity of development is the most valuable feature."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The solution is very simple and stable."
"This solution has transformed us from an Excel reporting environment to one of visual exploration."
"We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. Tooltips, like the pop-up descriptions when you hover over some object or graph. Those tooltips in Tableau are great features."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."
"The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts."
"You can create attractive dashboards that inform users using Tableau."
"Tableau has improved my organization in a variety of ways, one of its uses being that of data analysis. A feature I have found most valuable is the ease of use and straightforwardness, in addition to the flexibility of Tableau."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks' technical support takes a while to respond and could be improved."
"There are no direct connectors — they are very limited."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"I would like more integration with SQL for using data in different workspaces."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The pricing of Databricks could be cheaper."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"When compared to Power BI, it is less user-friendly."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"Creating empty extracts is not easy."
"I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations."
"There should be stronger data modules for the platform."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 reviews. Databricks is rated 8.2, while Tableau is rated 8.4. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Google Cloud Dataflow, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Databricks vs. Tableau report.
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